| 1. Course content.mp4 | 58.7 MB | ||
| 1. Creating dataframes.mp4 | 50.5 MB | ||
| 1. Final remarks.mp4 | 3.9 MB | ||
| 1. Installation.mp4 | 27.2 MB | ||
| 1. Line plot.mp4 | 29.6 MB | ||
| 1.1 Source code - Google Colab.html | 102.4 B | ||
| 10. Mathematical operations.mp4 | 20.4 MB | ||
| 10. Rename and reorder columns.mp4 | 35.4 MB | ||
| 11. Creating new columns.mp4 | 75.5 MB | ||
| 11. String operations.mp4 | 32.2 MB | ||
| 12. Categorical features.mp4 | 34.3 MB | ||
| 12. Numerical grouping.mp4 | 19.9 MB | ||
| 13. Aggregation.mp4 | 23.5 MB | ||
| 13. Categorical grouping.mp4 | 16.7 MB | ||
| 14. Grouping.mp4 | 78.6 MB | ||
| 14. Missing values.mp4 | 37.9 MB | ||
| 15. Functions.mp4 | 51.6 MB | ||
| 15. Grouping with aggregation.mp4 | 60.2 MB | ||
| 16. Aggregation with transform.mp4 | 23.5 MB | ||
| 16. HOMEWORK.mp4 | 25.2 MB | ||
| 16.1 Homework - solved.html | 102.4 B | ||
| 16.2 Homework - unsolved.html | 102.4 B | ||
| 17. Homework solution.mp4 | 64.5 MB | ||
| 17. Pivot tables.mp4 | 45.3 MB | ||
| 18. Concatenation and joining.mp4 | 95.8 MB | ||
| 19. Date conversions.mp4 | 81.8 MB | ||
| 2. BONUS.mp4 | 29.5 MB | ||
| 2. Course materials.html | 409.6 B | ||
| 2. Creating series.mp4 | 89.8 MB | ||
| 2. Exploring dataframes.mp4 | 56.4 MB | ||
| 2. Formatting.mp4 | 37.3 MB | ||
| 20. Date indexes.mp4 | 45.5 MB | ||
| 21. Importation and exportation.mp4 | 159.2 MB | ||
| 22. HOMEWORK.mp4 | 44.2 MB | ||
| 22.1 Homework - solved.html | 102.4 B | ||
| 22.2 Homework - unsolved.html | 102.4 B | ||
| 23. Homework solution.mp4 | 134.4 MB | ||
| 3. Accessing elements with iloc and loc.mp4 | 44.4 MB | ||
| 3. Slicing.mp4 | 24.7 MB | ||
| 3. Subplots.mp4 | 39.1 MB | ||
| 4. Bar and pizza plots.mp4 | 62.7 MB | ||
| 4. Copy, conversion, and concatenation.mp4 | 27.2 MB | ||
| 4. Deleting rows and columns.mp4 | 41.6 MB | ||
| 5. Accessing elements with iloc.mp4 | 71.1 MB | ||
| 5. Duplicated rows.mp4 | 38.6 MB | ||
| 5. Scatter plot.mp4 | 34.5 MB | ||
| 6. Accessing elements with loc.mp4 | 68.7 MB | ||
| 6. Histogram.mp4 | 27.7 MB | ||
| 6. Missing values.mp4 | 72.3 MB | ||
| 7. Counting.mp4 | 72.3 MB | ||
| 7. HOMEWORK.mp4 | 10.7 MB | ||
| 7. Ordering.mp4 | 23.7 MB | ||
| 7.1 Homework - solved.html | 102.4 B | ||
| 7.2 Homework - unsolved.html | 102.4 B | ||
| 8. Counting.mp4 | 22.1 MB | ||
| 8. Homework solution.mp4 | 24.6 MB | ||
| 8. Ordering.mp4 | 41.2 MB | ||
| 9. Filtering.mp4 | 53.4 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 63 total files | |||
The Ultimate Beginners Guide to Data Analysis with Pandas
https://DevCourseWeb.com
Published 4/2024
Created by Jones Granatyr
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 52 Lectures ( 5h 51m ) | Size: 2.36 GB
Python for Data Science: Develop essential skills with Pandas, with practical exercises solved step by step
What you'll learn:
Create, slice, and manipulate Series in Pandas, exploring from basic operations to grouping
Develop advanced skills in creating and manipulating DataFrames, mastering techniques for accessing and performing complex operations
Visualize data, create plots, and explore essential formatting techniques
Put your knowledge to the test with practical challenges, strengthening your skills in data manipulation and analysis
Explore the power of grouping in numerical and categorical data, as well as perform advanced operations for more sophisticated analyses
Requirements:
Programming logic
Basic Python programming
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